100 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" Fellowship research jobs at Zintellect
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phenotyping using both drone-based and ground based sensing platforms. Learn artificial intelligence and machine learning techniques to analyze image and geospatial data from diverse sources for crop monitoring
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-FS-PSWRS-2026-0113 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
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Requirements Citizenship: U.S. Citizen Only Degree: Doctoral Degree received within the last 60 months or currently pursuing. Discipline(s): Computer, Information, and Data Sciences (2 ) Life Health and
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2026-0078 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2026-0052 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2026-0041 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Eligibility U.S. citizens only Ph.D. in a relevant field must be completed before beginning the appointment and within five years of the appointment start date Proposal must be associated with an accredited U.S
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2026-0037 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2026-0061 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Requirements Citizenship: U.S. Citizen Only Degree: Currently pursuing a Master's Degree. Discipline(s): Business (3 ) Computer, Information, and Data Sciences (3 ) Life Health and Medical Sciences (2